psiLogInverse: psiLogInverse

In dlandy/WarpedBayes: Implements Design Pattern Discussed in Landy, Crawford, & Corbin

Description

This function is a transformation function that inverts the log... It's literally just exp(stimuli). It's appropriate for mapping (-inf, inf):-> (0, +inf)

Usage

psiLogInverse(warpedStimuli, smallValue = 10^-30)

Arguments

warpedStimuli	a vector of stimuli, between -inf and inf
smallValue	values smaller than this will be treated as this, to avoid anomalies near 0

Value

A vector containing unwarped stimuli

See Also

psiLinear, psiLogOdds, psiPrelec, psiLog, psiIdentityInverse

Examples

psiLogInverse(psiLog(1:100)) # returns 1:100
psiLog(1:100) %>% psiLogInverse()
1:1000 %>% psiLog() %>% vanillaBayes() %>% psiLogInverse()  # Implements Stevens Power Law

dlandy/WarpedBayes documentation built on May 29, 2019, 2:49 p.m.